• DocumentCode
    2908887
  • Title

    Multiphysic design rules applied to inductors or transformers for railway application

  • Author

    Rossi, Mathieu ; Hecquet, Michel ; Lanfranchi, Vincent ; Saada, Johnny Bou ; Lefebvre, Bruno

  • Author_Institution
    Univ Lille Nord de France, Lille, France
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1225
  • Lastpage
    1230
  • Abstract
    Nowadays, power converters in the railway industries are increasingly more compact and powerful. This progress is due to the use of fast and efficient components capable of working at high frequency such as IGBT. However, this evolution leads to a considerable loss of harmonics in transformers and complicates their design. Moreover, the mean time between failures (MTBF) must be very long. This MTBF is linked to the results of thermal modeling that in turn has to be accurate. The model must also take into account the electronic switches used. This paper presents a multi-physic model including thermal and electromagnetic aspects. The simulations are successfully compared with experimental measurements. This model is then coupled to a mixed-variable constrained non-dominating sorting Genetic Algorithm (NSGA-II). Some optimization and sensitivity study results are presented.
  • Keywords
    genetic algorithms; insulated gate bipolar transistors; power conversion harmonics; power transformers; railway industry; IGBT; NSGA-II; electromagnetic aspects; electronic switches; harmonics loss; inductors; multiphysic design rules; nondominating sorting genetic algorithm; optimization; power converters; railway industries; thermal aspects; thermal modeling; transformers; Atmospheric modeling; Inductors; Magnetic cores; Optimization; Resistance; Windings; Wires; harmonics; inductors; multi-objective optimization; multiphysics; nodal network; transformers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines & Drives Conference (IEMDC), 2011 IEEE International
  • Conference_Location
    Niagara Falls, ON
  • Print_ISBN
    978-1-4577-0060-6
  • Type

    conf

  • DOI
    10.1109/IEMDC.2011.5994778
  • Filename
    5994778